package com.atguigu.day07;

import com.atguigu.bean.WaterSensor;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.common.state.ListState;
import org.apache.flink.api.common.state.ListStateDescriptor;
import org.apache.flink.api.common.state.ReducingState;
import org.apache.flink.api.common.state.ReducingStateDescriptor;
import org.apache.flink.api.java.tuple.Tuple;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
import org.apache.flink.util.Collector;

import java.util.ArrayList;
import java.util.Comparator;

public class Flink03_KeyedState_ReducingState {
    public static void main(String[] args) throws Exception {
        //1.获取流的执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        env.setParallelism(1);
        
        //2.从端口获取数据
        DataStreamSource<String> streamSource = env.socketTextStream("localhost", 9999);
        
        //3.将数据转为JavaBean
        streamSource.map(new MapFunction<String, WaterSensor>() {
            @Override
            public WaterSensor map(String value) throws Exception {
                String[] split = value.split(",");
                return new WaterSensor(split[0], Long.parseLong(split[1]), Integer.parseInt(split[2]));
            }
        })
                .keyBy("id")
                //计算每个传感器的水位和
                .process(new KeyedProcessFunction<Tuple, WaterSensor, String>() {
                    //TODO 创建一个ReducingState用来计算水位和
                    private ReducingState<Integer> reducingState;

                    @Override
                    public void open(Configuration parameters) throws Exception {
                        //TODO 初始化状态
                        reducingState = getRuntimeContext().getReducingState(new ReducingStateDescriptor<Integer>("reducingState", new ReduceFunction<Integer>() {
                            @Override
                            public Integer reduce(Integer value1, Integer value2) throws Exception {
                                return value1 + value2;
                            }
                        }, Integer.class));
                    }

                    @Override
                    public void processElement(WaterSensor value, Context ctx, Collector<String> out) throws Exception {
                        //1.将数据存入状态做累加计算
                        reducingState.add(value.getVc());
                        //2.取出状态中的数据（累加过后的结果）
                        Integer sumVc = reducingState.get();
                        out.collect(value.getId()+"-"+sumVc);
                    }
                }).print();

        env.execute();
    }
}
